A fast separability-based feature selection method for high-dimensional remotely-sensed image classification
Because of the difficulty of obtaining an analytic expression for Bayes error, a wide variety of separability measures has been proposed for feature selection. In this paper, we show that there is a general framework based on the criterion of mutual information (MI) that can provide a realistic solu...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2008-05.
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| Subjects: | |
| Online Access: | Get fulltext |